COVID-19 Patients Have Low Oxygen Levels Due to Damaged Blood Cells, Finds Study
|
By HospiMedica International staff writers Posted on 08 Jul 2020 |

Illustration
A report by Reuters has stated that the damage caused by the coronavirus to the membranes of red blood cells that carry oxygen could explain why several COVID-19 patients have alarmingly low oxygen levels.
Researchers from the University of Colorado Anschutz Medical Campus (Aurora, CO, USA) and Columbia University (New York, NY, USA) conducted a study combining state-of-the-art metabolomics, proteomics, and lipidomics approaches to investigate the impact of COVID-19 on RBCs from 23 healthy subjects and 29 molecularly-diagnosed COVID-19 patients. The researchers found that the RBCs from COVID-19 patients had increased levels of glycolytic intermediates, accompanied by oxidation and fragmentation of ankyrin, spectrin beta, and the N-terminal cytosolic domain of band 3 (AE1). Significantly altered lipid metabolism was also observed, especially short and medium chain saturated fatty acids, acyl-carnitines, and sphingolipids. However, there were no alterations of clinical hematological parameters, such as RBC count, hematocrit, and mean corpuscular hemoglobin concentration, with only minor increases in mean corpuscular volume.
According to the researchers, the findings suggested a significant impact of SARS-CoV-2 infection on RBC structural membrane homeostasis at the protein and lipid levels. The increases in RBC glycolytic metabolites were consistent with a theoretically improved capacity of hemoglobin to off-load oxygen as a function of allosteric modulation by high-energy phosphate compounds, perhaps to counteract COVID-19-induced hypoxia. Conversely, because the N-terminus of AE1 stabilizes deoxyhemoglobin and finely tunes oxygen off-loading, RBCs from COVID-19 patients may be incapable of responding to environmental variations in hemoglobin oxygen saturation when traveling from the lungs to peripheral capillaries and, as such, may have a compromised capacity to transport and deliver oxygen.
"Since red cells circulate for up to 120 days, this could also help explain why it can take months to recover from the virus ... until enough new red cells without this damage are made and circulate," senior researcher Angelo D'Alessandro of the University of Colorado Anschutz Medical Campus told Reuters.
Related Links:
University of Colorado Anschutz Medical Campus
Columbia University
Researchers from the University of Colorado Anschutz Medical Campus (Aurora, CO, USA) and Columbia University (New York, NY, USA) conducted a study combining state-of-the-art metabolomics, proteomics, and lipidomics approaches to investigate the impact of COVID-19 on RBCs from 23 healthy subjects and 29 molecularly-diagnosed COVID-19 patients. The researchers found that the RBCs from COVID-19 patients had increased levels of glycolytic intermediates, accompanied by oxidation and fragmentation of ankyrin, spectrin beta, and the N-terminal cytosolic domain of band 3 (AE1). Significantly altered lipid metabolism was also observed, especially short and medium chain saturated fatty acids, acyl-carnitines, and sphingolipids. However, there were no alterations of clinical hematological parameters, such as RBC count, hematocrit, and mean corpuscular hemoglobin concentration, with only minor increases in mean corpuscular volume.
According to the researchers, the findings suggested a significant impact of SARS-CoV-2 infection on RBC structural membrane homeostasis at the protein and lipid levels. The increases in RBC glycolytic metabolites were consistent with a theoretically improved capacity of hemoglobin to off-load oxygen as a function of allosteric modulation by high-energy phosphate compounds, perhaps to counteract COVID-19-induced hypoxia. Conversely, because the N-terminus of AE1 stabilizes deoxyhemoglobin and finely tunes oxygen off-loading, RBCs from COVID-19 patients may be incapable of responding to environmental variations in hemoglobin oxygen saturation when traveling from the lungs to peripheral capillaries and, as such, may have a compromised capacity to transport and deliver oxygen.
"Since red cells circulate for up to 120 days, this could also help explain why it can take months to recover from the virus ... until enough new red cells without this damage are made and circulate," senior researcher Angelo D'Alessandro of the University of Colorado Anschutz Medical Campus told Reuters.
Related Links:
University of Colorado Anschutz Medical Campus
Columbia University
Latest COVID-19 News
- Low-Cost System Detects SARS-CoV-2 Virus in Hospital Air Using High-Tech Bubbles
- World's First Inhalable COVID-19 Vaccine Approved in China
- COVID-19 Vaccine Patch Fights SARS-CoV-2 Variants Better than Needles
- Blood Viscosity Testing Can Predict Risk of Death in Hospitalized COVID-19 Patients
- ‘Covid Computer’ Uses AI to Detect COVID-19 from Chest CT Scans
- MRI Lung-Imaging Technique Shows Cause of Long-COVID Symptoms
- Chest CT Scans of COVID-19 Patients Could Help Distinguish Between SARS-CoV-2 Variants
- Specialized MRI Detects Lung Abnormalities in Non-Hospitalized Long COVID Patients
- AI Algorithm Identifies Hospitalized Patients at Highest Risk of Dying From COVID-19
- Sweat Sensor Detects Key Biomarkers That Provide Early Warning of COVID-19 and Flu
- Study Assesses Impact of COVID-19 on Ventilation/Perfusion Scintigraphy
- CT Imaging Study Finds Vaccination Reduces Risk of COVID-19 Associated Pulmonary Embolism
- Third Day in Hospital a ‘Tipping Point’ in Severity of COVID-19 Pneumonia
- Longer Interval Between COVID-19 Vaccines Generates Up to Nine Times as Many Antibodies
- AI Model for Monitoring COVID-19 Predicts Mortality Within First 30 Days of Admission
- AI Predicts COVID Prognosis at Near-Expert Level Based Off CT Scans
Channels
Artificial Intelligence
view channel
AI Trends Report Guides Responsible, Effective Healthcare Deployment
Hospitals are under growing pressure to adopt artificial intelligence tools that improve safety, efficiency, and continuity of care without compromising quality. At the same time, clinicians need clearer... Read more
Privacy-Preserving AI Protects Sensitive Information in ECG Data
Artificial intelligence applied to electrocardiography can extract more than cardiac rhythm. Algorithms can infer age, sex, race, and even identity from electrocardiogram (ECG) signals, creating privacy... Read moreCritical Care
view channel
Medical Drone Program Improves Blood Access and Patient Survival
Delayed access to blood products can be fatal for patients with postpartum hemorrhage and traumatic bleeding, and it also drives waste in hospital inventories. Rwanda’s mountainous terrain has historically... Read more
FDA Clears Tongue-Applied Neuromodulation System for Stroke Gait Rehabilitation
Gait impairment after stroke is a persistent driver of fall risk, loss of independence, and reduced quality of life. Despite structured rehabilitation, many adults continue to experience dynamic gait deficits... Read moreSurgical Techniques
view channel
Intravesical CAR T Therapy Shows Promise for Bladder Cancer Treatment
Bladder cancer is common and frequently recurs after initial therapy, exposing patients to repeated procedures and cumulative toxicity. High‑risk disease often progresses despite intravesical drugs or... Read more
Living Valve Surgery Delivers Durable Outcomes for Aortic Valve Disease
Aortic valve disease can lead to heart failure, impaired quality of life, and early mortality if untreated, yet standard replacement options often require trade-offs among durability, anticoagulation,... Read morePatient Care
view channel
AI Avatar Doctor Improves Patient Understanding Before Radiotherapy
Radiation oncology consultations require patients to grasp complex concepts quickly, yet anxiety and information overload often undermine understanding and informed consent. Poor comprehension can also... Read more
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read moreHealth IT
view channel
Digital Heart Model Supports Targeted Ablation in Atrial Fibrillation
Atrial fibrillation is an erratic, quivering heartbeat and a leading cause of stroke. Catheter ablation is widely used to interrupt arrhythmogenic tissue, yet many patients—especially with persistent ... Read moreAI Framework Helps Clinicians Create Trustworthy Risk Prediction Tools
Artificial intelligence (AI) is increasingly used to estimate risks for conditions such as sepsis, heart disease, and cancer, yet many models remain difficult for clinicians to interpret or trust.... Read morePoint of Care
view channel
AI Dermatology Platform Targets Early Detection of Non-Melanoma Skin Cancer
Keratinocyte skin cancers, including basal cell and squamous cell carcinoma, account for a substantial share of dermatology workload in the United States and require accurate triage to guide biopsy decisions.... Read more








